Why is understanding the standard error important in statistical inference?

Understanding the standard error is crucial for making informed statistical inferences. It allows us to quantify the uncertainty associated with our estimates of population parameters (like the mean). By considering the standard error, we can determine the appropriate confidence intervals, perform hypothesis tests, and draw conclusions about the population based on the sample data.